Abstract
Farming is the biggest business since the beginning of humanity. Farming and farming business among countries triggered most of the historical revolutions directly or indirectly. Besides, all of the modern and technological innovations directly were adapted to the farming systems. In a large part of the world, the solar energy is never enough for farming all kind of vegetables and fruits during the whole year. At the same time, compensating the solar energy by using lighting, heating and other systems 7/24 during the whole year for farming is not economically enough as business. Like all other businesses, the main aim of farming business is also increasing productivity by decreasing expenses. With the introduction of information technologies into every moment of our lives, taking the advantage of intelligent systems has become more important to achieve these goals. Also, information technologies and intelligent farming systems have gained increasing importance with today’s consumption patterns. In this study, we aim to propose an evaluation model for the intelligent farming systems by using fuzzy sets theory and simulation technique.
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Çelikbilek, Y., Tüysüz, F. (2020). An Evaluation Model for Intelligent Farming Systems: A Fuzzy Logic Based Simulation Approach. In: Kahraman, C., Cebi, S., Cevik Onar, S., Oztaysi, B., Tolga, A., Sari, I. (eds) Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making. INFUS 2019. Advances in Intelligent Systems and Computing, vol 1029. Springer, Cham. https://doi.org/10.1007/978-3-030-23756-1_155
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DOI: https://doi.org/10.1007/978-3-030-23756-1_155
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